A pts method for reducing the low computational complexity of the ufmc system papr
A technology of computational complexity and scheme, applied in transmission systems, multi-frequency code systems, digital transmission systems, etc., can solve problems such as high computational complexity, high BER, in-band and out-of-band interference, and simplify the operation process. Computational complexity reduction, the effect of low computational complexity
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Embodiment 1
[0061] The PTS method of low computational complexity to reduce the PAPR of the UFMC system, refer to the attached Figure 1~3 , including the following steps:
[0062] (1) Establish a system model; the input data of the B subbands will be subjected to IFFT transformation to obtain s j =[s j (0),s j (1),...,s j (N-1)] T , j=(1,2,...B), s j After passing through a filter of length l, the time-domain sub-block sequence x is obtained j =[x j (0),x j (1),...,x j (N+l-1)] T , j=(1,2,...B);
[0063] (2) Analyze the system parameters of Universal Filtering Multi-Carrier (UFMC), determine the computational complexity PTS scheme of UFMC; divide B subband input data into V non-overlapping subblock sequences, each subblock contains K subband data; x m =[x m (0),x m (1),...,x m (N+l-1)] T , 1≤m≤V,
[0064] (3) Determine the selection criteria for peak power calculation sampling point and Q(n) threshold value α; that is, calculate Q=[Q(0), Q(1),...Q(N+l-1)] T , 0≤n≤N+...
Embodiment 2
[0124] The calculation method of the traditional PTS complexity is compared with the method in Embodiment 1 of the present invention.
[0125] The low-complexity PTS scheme is when the peak power of the system is greater than the minimum peak power Φ n The probability β is certain under certain circumstances (such as, Calculate the set S Q (α)={n|Q(n)≥α, 0≤n≤N-1} the PAPR value after multiplying the sampling point and the phase rotation factor vector, and select the optimal phase rotation factor vector.
[0126] Let α at this time be α β ,and When considering the oversampling factor L, the set S Q (α β ) The number of sampling points is
[0127] Step1, perform IFFT transformation on the input data of B subbands, the required real number addition and complex number multiplication are respectively and
[0128] Step2, the K subband data are superimposed on each other, and the required real number addition and complex number multiplication are 2V{(K-1)(LN+l-1)} and ...
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